The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-28"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "24734448 (up from 24452629 yesterday: 1.15 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "837124 (up from 831586 yesterday: 0.67 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5356412

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.38



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5913941 46156 0.79 972186 181800 976 0.54 3.07
Brazil 3804803 43412 1.15 842361 119504 855 0.72 3.14
India 3463972 76472 2.26 1375361 62550 1021 1.66 1.81
Russia 977730 4758 0.49 102352 16866 108 0.64 1.73
Peru 621997 8619 1.41 158122 28277 153 0.54 4.55
South Africa 620132 1846 0.30 74656 13743 115 0.84 2.22
Colombia 590492 8497 1.46 223288 18766 299 1.62 3.18
Mexico 585738 5824 1.00 116331 63146 552 0.88 10.78
Spain 439286 9779 2.28 124924 29011 15 0.05 6.60
Chile 405972 1870 0.46 37147 11132 60 0.54 2.74
Argentina 392009 11717 3.08 156332 8271 221 2.75 2.11
Iran 369911 2115 0.58 47344 21249 112 0.53 5.74
United Kingdom 333806 1297 0.39 23110 41573 9 0.02 12.45
Saudi Arabia 312924 1069 0.34 27131 3813 28 0.74 1.22
Bangladesh 306794 2211 0.73 54292 4174 47 1.14 1.36
France 304947 7462 2.51 69740 30601 20 0.07 10.03
Pakistan 295053 415 0.14 12408 6283 9 0.14 2.13
Turkey 265515 1517 0.57 27065 6245 36 0.58 2.35
Italy 265409 1460 0.55 15653 35472 9 0.03 13.37
Germany 242126 1555 0.65 25930 9290 0 0.00 3.84
Iraq 223612 4177 1.90 79548 6814 74 1.10 3.05
Philippines 209544 3963 1.93 86790 3325 91 2.81 1.59
Indonesia 165887 3003 1.84 44661 7169 105 1.49 4.32
Canada 129342 506 0.39 8439 9155 7 0.08 7.08
Qatar 118196 208 0.18 5813 196 1 0.51 0.17
Ukraine 117172 2509 2.19 37154 2499 50 2.04 2.13
Bolivia 114409 1280 1.13 26518 4846 55 1.15 4.24
Ecuador 112141 922 0.83 20172 6504 33 0.51 5.80
Israel 112000 1597 1.45 31009 894 10 1.13 0.80
Kazakhstan 105558 150 0.14 7729 1523 0 0.00 1.44
Egypt 98285 223 0.23 3138 5362 20 0.37 5.46
Dominican Republic 93390 426 0.46 15681 1648 18 1.10 1.76
Panama 90624 642 0.71 18064 1966 18 0.92 2.17
China 89836 22 0.02 1256 4718 3 0.06 5.25
Oman 85005 0 0.00 3938 650 0 0.00 0.76
Romania 84468 1318 1.59 25195 3507 48 1.39 4.15
Sweden 83958 60 0.07 1635 5821 1 0.02 6.93
Belgium 83952 452 0.54 11168 9886 2 0.02 11.78
Kuwait 83578 633 0.76 12851 525 3 0.57 0.63
Guatemala 72921 1065 1.48 17651 2709 24 0.89 3.71
Netherlands 71557 573 0.81 13440 6247 3 0.05 8.73
Belarus 71346 181 0.25 2732 667 5 0.76 0.93
United Arab Emirates 68901 390 0.57 6840 379 1 0.26 0.55
Japan 66499 846 1.29 20735 1251 10 0.81 1.88
Poland 65480 791 1.22 15156 2018 8 0.40 3.08
Honduras 58810 1141 1.98 12445 1827 24 1.33 3.11
Morocco 58489 1404 2.46 27827 1052 41 4.06 1.80
Portugal 57074 401 0.71 4723 1815 6 0.33 3.18
Singapore 56666 94 0.17 1869 27 0 0.00 0.05
Nigeria 53477 160 0.30 7790 1011 0 0.00 1.89
Bahrain 51113 357 0.70 7806 189 1 0.53 0.37
Ethiopia 48140 1733 3.73 26688 758 13 1.74 1.57
Ghana 43949 108 0.25 3852 270 0 0.00 0.61
Venezuela 43879 981 2.29 19713 366 8 2.23 0.83
Kyrgyzstan 43587 128 0.29 4425 1057 0 0.00 2.43
Armenia 43451 181 0.42 3466 869 5 0.58 2.00
Algeria 43403 387 0.90 9248 1483 8 0.54 3.42
Switzerland 41346 340 0.83 5077 2004 1 0.05 4.85
Uzbekistan 40720 273 0.67 11663 302 4 1.34 0.74
Costa Rica 38485 1193 3.20 16404 407 10 2.52 1.06
Afghanistan 38140 11 0.03 1125 1402 1 0.07 3.68
Nepal 36456 927 2.61 14242 195 12 6.56 0.53
Azerbaijan 35986 142 0.40 2610 527 3 0.57 1.46
Moldova 35904 358 1.01 8914 981 4 0.41 2.73
Kenya 33630 241 0.72 8492 567 0 0.00 1.69
Serbia 31207 108 0.35 3599 709 2 0.28 2.27
Ireland 28578 125 0.44 2108 1777 0 0.00 6.22
Austria 26590 229 0.87 4753 733 0 0.00 2.76
Australia 25547 99 0.39 4849 600 17 2.92 2.35
El Salvador 25415 131 0.52 5871 702 8 1.15 2.76
Czechia 23777 608 2.62 5717 419 1 0.24 1.76
West Bank and Gaza 21251 574 2.78 7529 145 4 2.84 0.68
Korea, South 19400 323 1.69 4838 321 5 1.58 1.65
Bosnia and Herzegovina 19214 294 1.55 5527 591 9 1.55 3.08
Cameroon 19142 0 0.00 1424 411 0 0.00 2.15
Cote d’Ivoire 17797 95 0.54 1273 115 0 0.00 0.65
Denmark 17125 73 0.43 2378 624 0 0.00 3.64
Bulgaria 16065 157 0.99 2856 603 9 1.52 3.75
Paraguay 15873 583 3.81 9365 280 15 5.66 1.76
Lebanon 15613 676 4.53 9662 148 2 1.37 0.95
Madagascar 14696 104 0.71 1988 187 3 1.63 1.27
North Macedonia 14163 159 1.14 2609 590 5 0.85 4.17
Senegal 13384 90 0.68 2497 279 2 0.72 2.08
Sudan 13082 37 0.28 1188 823 0 0.00 6.29
Kosovo 12683 0 0.00 2814 488 0 0.00 3.85
Libya 12629 355 2.89 7550 226 7 3.20 1.79
Zambia 11779 178 1.53 4293 283 1 0.35 2.40
Norway 10582 40 0.38 1031 264 0 0.00 2.49

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 697385 5564 0.80 150571 12805 128 1.01 1.84 17649.85 324.08 1 in 57
Texas 619354 4805 0.78 128050 12537 172 1.39 2.02 21360.07 432.37 1 in 47
Florida 615806 3815 0.62 97731 10957 89 0.82 1.78 28671.83 510.16 1 in 35
New York 432767 636 0.15 13125 32934 8 0.02 7.61 22246.16 1692.95 1 in 45
Georgia 265372 2298 0.87 56368 5471 78 1.45 2.06 24994.01 515.29 1 in 40
Illinois 231186 2436 1.06 39378 8206 20 0.24 3.55 18244.10 647.58 1 in 55
Arizona 200658 519 0.26 15605 4978 49 0.99 2.48 26350.73 653.72 1 in 38
New Jersey 190971 358 0.19 6910 15930 9 0.06 8.34 21500.44 1793.48 1 in 47
North Carolina 162491 1415 0.88 29154 2652 22 0.84 1.63 15492.92 252.86 1 in 65
Tennessee 150815 1636 1.10 32033 1701 28 1.67 1.13 22071.00 248.93 1 in 45
Louisiana 146243 606 0.42 17497 4904 30 0.62 3.35 31458.27 1054.90 1 in 32
Pennsylvania 136781 869 0.64 14753 7642 20 0.26 5.59 10684.36 596.94 1 in 94
Massachusetts 127584 460 0.36 7293 9024 16 0.18 7.07 18358.72 1298.51 1 in 54
Alabama 122185 1162 0.96 23884 2107 31 1.49 1.72 24919.52 429.72 1 in 40
Ohio 120124 1296 1.09 21449 4105 29 0.71 3.42 10276.58 351.18 1 in 97
Virginia 117578 1009 0.87 19696 2550 23 0.91 2.17 13775.14 298.75 1 in 73
South Carolina 115951 1353 1.18 17732 2655 27 1.03 2.29 22520.38 515.66 1 in 44
Michigan 111136 793 0.72 15666 6712 6 0.09 6.04 11128.23 672.08 1 in 90
Maryland 106664 601 0.57 12858 3727 5 0.13 3.49 17643.01 616.47 1 in 57
Indiana 91313 809 0.89 19059 3277 11 0.34 3.59 13563.58 486.76 1 in 74
Missouri 81672 1458 1.82 23835 1500 12 0.81 1.84 13307.20 244.40 1 in 75
Mississippi 81294 599 0.74 15858 2413 14 0.58 2.97 27315.16 810.78 1 in 37
Wisconsin 73981 843 1.15 15213 1113 2 0.18 1.50 12706.20 191.16 1 in 79
Washington 73301 598 0.82 11714 1905 15 0.79 2.60 9626.01 250.17 1 in 104
Minnesota 73240 850 1.17 14055 1859 4 0.22 2.54 12986.66 329.63 1 in 77
Nevada 67852 632 0.94 13319 1287 16 1.26 1.90 22028.75 417.84 1 in 45
Iowa 62828 1340 2.18 14788 1108 17 1.56 1.76 19913.35 351.18 1 in 50
Arkansas 59583 838 1.43 11544 756 17 2.30 1.27 19743.69 250.51 1 in 51
Colorado 56753 430 0.76 6878 1937 6 0.31 3.41 9855.11 336.36 1 in 101
Oklahoma 56260 710 1.28 14005 786 8 1.03 1.40 14217.95 198.64 1 in 70
Connecticut 52495 145 0.28 2175 4465 0 0.00 8.51 14723.92 1252.35 1 in 68
Utah 50948 391 0.77 7573 407 4 0.99 0.80 15891.66 126.95 1 in 63
Kentucky 46757 779 1.69 12961 918 8 0.88 1.96 10465.63 205.48 1 in 96
Kansas 41050 690 1.71 10913 445 1 0.23 1.08 14090.48 152.75 1 in 71
Nebraska 33436 335 1.01 5332 392 1 0.26 1.17 17284.87 202.65 1 in 58
Puerto Rico 31988 605 1.93 11302 424 12 2.91 1.33 10015.99 132.76 1 in 100
Idaho 31376 263 0.85 7451 353 10 2.92 1.13 17508.29 196.98 1 in 57
Oregon 26054 293 1.14 5419 447 9 2.05 1.72 6177.25 105.98 1 in 162
New Mexico 25042 122 0.49 3077 767 3 0.39 3.06 11942.80 365.79 1 in 84
Rhode Island 21683 94 0.44 1945 1046 2 0.19 4.82 20468.00 987.39 1 in 49
Delaware 17083 107 0.63 1638 604 0 0.00 3.54 17543.27 620.27 1 in 57
District of Columbia 13851 57 0.41 1262 605 0 0.00 4.37 19625.96 857.25 1 in 51
South Dakota 12517 323 2.65 3146 165 3 1.85 1.32 14148.95 186.51 1 in 71
North Dakota 11110 310 2.87 3783 139 0 0.00 1.25 14578.87 182.40 1 in 69
West Virginia 9826 193 2.00 2374 201 3 1.52 2.05 5498.15 112.47 1 in 182
Hawaii 7830 264 3.49 4715 59 4 7.27 0.75 5530.16 41.67 1 in 181
New Hampshire 7216 22 0.31 437 432 1 0.23 5.99 5307.01 317.71 1 in 188
Montana 7063 134 1.93 2306 100 2 2.04 1.42 6608.48 93.56 1 in 151
Alaska 5092 118 2.37 1556 37 0 0.00 0.73 6960.61 50.58 1 in 144
Maine 4436 22 0.50 420 132 0 0.00 2.98 3300.07 98.20 1 in 303
Wyoming 3803 70 1.88 803 37 0 0.00 0.97 6570.96 63.93 1 in 152
Vermont 1589 3 0.19 141 58 0 0.00 3.65 2546.52 92.95 1 in 393

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 11010637 697385 6.33 2413755 150571 6.24 278664.1
2 Texas 4842362 619354 12.79 841830 128050 15.21 167001.7
3 Florida 4547677 615806 13.54 650738 97731 15.02 211739.1
4 New York 8002897 432767 5.41 1633922 13125 0.80 411384.7
5 Georgia 2286984 265372 11.60 533855 56368 10.56 215399.2
6 Illinois 3926007 231186 5.89 940089 39378 4.19 309821.8
7 Arizona 1184077 200658 16.95 179232 15605 8.71 155494.9
8 New Jersey 2749194 190971 6.95 496402 6910 1.39 309517.6
9 North Carolina 2182891 162491 7.44 243079 29154 11.99 208130.6
10 Tennessee 2155504 150815 7.00 493472 32033 6.49 315447.0
11 Louisiana 1828478 146243 8.00 323476 17497 5.41 393323.1
12 Pennsylvania 1620826 136781 8.44 303927 14753 4.85 126607.4
13 Massachusetts 1683248 127584 7.58 397193 7293 1.84 242211.3
14 Alabama 964863 122185 12.66 215447 23884 11.09 196782.9
15 Ohio 2141055 120124 5.61 517960 21449 4.14 183166.8
16 Virginia 1544436 117578 7.61 335691 19696 5.87 180942.2
17 South Carolina 926509 115951 12.51 158548 17732 11.18 179949.6
18 Michigan 2683874 111136 4.14 647279 15666 2.42 268740.6
19 Maryland 1291270 106664 8.26 284446 12858 4.52 213585.6
20 Indiana 1044049 91313 8.75 226945 19059 8.40 155082.5
21 Missouri 954633 81672 8.56 201893 23835 11.81 155542.8
22 Mississippi 562882 81294 14.44 75670 15858 20.96 189131.0
23 Wisconsin 1235675 73981 5.99 197699 15213 7.70 212226.5
24 Washington 1408164 73301 5.21 397140 11714 2.95 184922.4
25 Minnesota 1101710 73240 6.65 191439 14055 7.34 195351.4
26 Nevada 588551 67852 11.53 81553 13319 16.33 191078.3
27 Iowa 607159 62828 10.35 98459 14788 15.02 192439.1
28 Arkansas 698055 59583 8.54 146532 11544 7.88 231310.6
29 Colorado 972990 56753 5.83 401627 6878 1.71 168959.0
30 Oklahoma 855780 56260 6.57 169965 14005 8.24 216271.5
31 Connecticut 1127506 52495 4.66 262873 2175 0.83 316245.5
32 Utah 647745 50948 7.87 88645 7573 8.54 202044.1
33 Kentucky 804650 46757 5.81 162656 12961 7.97 180105.0
34 Kansas 403147 41050 10.18 86635 10913 12.60 138380.9
35 Nebraska 352419 33436 9.49 58517 5332 9.11 182184.4
37 Idaho 249187 31376 12.59 50487 7451 14.76 139050.2
38 Oregon 543867 26054 4.79 106174 5419 5.10 128947.6
39 New Mexico 740366 25042 3.38 135984 3077 2.26 353088.4
40 Rhode Island 504904 21683 4.29 286931 1945 0.68 476611.8
41 Delaware 231041 17083 7.39 36257 1638 4.52 237265.9
42 District of Columbia 281549 13851 4.92 72824 1262 1.73 398936.5
43 South Dakota 142940 12517 8.76 24213 3146 12.99 161576.4
44 North Dakota 197996 11110 5.61 32295 3783 11.71 259816.1
45 West Virginia 419581 9826 2.34 106904 2374 2.22 234777.0
46 Hawaii 188153 7830 4.16 52869 4715 8.92 132888.4
47 New Hampshire 206157 7216 3.50 37692 437 1.16 151618.2
48 Montana 242875 7063 2.91 55119 2306 4.18 227245.5
49 Alaska 339538 5092 1.50 70687 1556 2.20 464138.2
50 Maine 251173 4436 1.77 67451 420 0.62 186855.2
51 Wyoming 75236 3803 5.05 18611 803 4.31 129995.4
52 Vermont 126755 1589 1.25 25793 141 0.55 203136.6

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 764281 45570 6.34 554711 72.58 185131 24103 1014 4.39 3.15
Tamil Nadu 415590 18329 4.61 355727 85.60 52726 7137 298 4.36 1.72
Andhra Pradesh 414164 31695 8.29 312687 75.50 97681 3796 255 7.20 0.92
Karnataka 327076 26670 8.88 235128 71.89 86446 5483 392 7.70 1.68
Uttar Pradesh 219457 16429 8.09 162741 74.16 53360 3356 215 6.84 1.53
Delhi 171366 5602 3.38 152922 89.24 14040 4404 57 1.31 2.57
West Bengal 156766 8991 6.08 127644 81.42 25996 3126 162 5.47 1.99
Bihar 132935 5945 4.68 115074 86.56 17181 679 26 3.98 0.51
Telangana 120166 8478 7.59 89350 74.36 30008 808 28 3.59 0.67
Assam 103795 7023 7.26 82511 79.49 20992 289 15 5.47 0.28
Odisha 97920 10318 11.78 70714 72.22 26683 523 29 5.87 0.53
Gujarat 93883 3744 4.15 75762 80.70 15132 2989 44 1.49 3.18
Rajasthan 78777 4107 5.50 62971 79.94 14776 1030 38 3.83 1.31
Kerala 71701 7346 11.41 48079 67.05 23277 281 23 8.91 0.39
Haryana 61987 3982 6.86 50711 81.81 10606 670 36 5.68 1.08
Madhya Pradesh 60875 4011 7.05 46413 76.24 13117 1345 63 4.91 2.21
Punjab 50848 4758 10.32 34091 67.04 15409 1348 129 10.58 2.65
Jharkhand 37112 3801 11.41 25216 67.95 11498 398 36 9.94 1.07
Jammu and Kashmir 36377 1897 5.50 28020 77.03 7672 685 28 4.26 1.88
Chhattisgarh 28746 4196 17.09 15818 55.03 12666 262 31 13.42 0.91
Uttarakhand 18571 2022 12.22 12524 67.44 5735 250 31 14.16 1.35
Goa 16553 1526 10.16 12729 76.90 3646 178 13 7.88 1.08
Puducherry 13556 1626 13.63 8511 62.78 4834 211 31 17.22 1.56
Tripura 10876 1337 14.02 7037 64.70 3726 94 11 13.25 0.86
Manipur 5960 375 6.71 4186 70.23 1746 28 3 12.00 0.47
Himachal Pradesh 5781 460 8.64 4266 73.79 1438 33 2 6.45 0.57
Chandigarh 3985 609 18.04 2248 56.41 1692 45 4 9.76 1.13
Arunachal Pradesh 3877 322 9.06 2754 71.03 1116 7 2 40.00 0.18
Nagaland 3851 73 1.93 2908 75.51 925 8 0 0.00 0.21
Andaman and Nicobar Islands 3081 96 3.22 2519 81.76 518 44 3 7.32 1.43
Ladakh 2603 152 6.20 1745 67.04 826 32 7 28.00 1.23
Dadra and Nagar Haveli and Daman and Diu 2308 88 3.96 1989 86.18 288 2 0 0.00 0.09
Meghalaya 2283 233 11.37 1035 45.34 1238 10 2 25.00 0.44
Sikkim 1602 116 7.81 1195 74.59 404 3 0 0.00 0.19
Mizoram 1003 36 3.72 584 58.23 419 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1555403 99416 316 0.32 6.39 172 17 6454 16860 16.96
Piemonte 579034 32694 91 0.28 5.65 82 6 1346 4145 12.68
Emilia-Romagna 874312 31547 164 0.52 3.61 94 9 2621 4459 14.13
Veneto 1522902 22604 135 0.60 1.48 50 6 2253 2119 9.37
Toscana 521946 11595 82 0.71 2.22 47 4 1349 1141 9.84
Liguria 232350 10807 46 0.43 4.65 28 0 469 1571 14.54
Lazio 545595 10716 166 1.57 1.96 283 6 2716 878 8.19
Marche 200877 7211 17 0.24 3.59 8 1 291 987 13.69
Campania 402390 6424 183 2.93 1.60 121 5 1596 445 6.93
Puglia 297585 5268 51 0.98 1.77 104 5 684 556 10.55
P.A. Trento 184063 5070 16 0.32 2.75 6 1 74 405 7.99
Sicilia 341110 4228 54 1.29 1.24 69 9 1058 286 6.76
Friuli Venezia Giulia 318708 3728 19 0.51 1.17 13 0 347 348 9.33
Abruzzo 153133 3725 20 0.54 2.43 39 1 383 472 12.67
P.A. Bolzano 134717 2915 8 0.28 2.16 8 1 189 292 10.02
Sardegna 131604 2022 55 2.80 1.54 23 2 622 134 6.63
Umbria 149916 1741 22 1.28 1.16 12 0 229 80 4.60
Calabria 152010 1432 10 0.70 0.94 14 0 189 97 6.77
Valle d’Aosta 24628 1226 2 0.16 4.98 1 0 15 146 11.91
Molise 32919 522 1 0.19 1.59 3 0 67 23 4.41
Basilicata 55308 518 4 0.78 0.94 1 1 83 28 5.41

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 62124 68 0.11 5750 0 0.00 9.26 7276.45 673.49 1 in 137
Ontario 43919 118 0.27 2855 7 0.25 6.50 2985.29 194.06 1 in 335
Alberta 13476 158 1.19 237 0 0.00 1.76 3053.60 53.70 1 in 327
British Columbia 5496 124 2.31 204 0 0.00 3.71 1075.35 39.91 1 in 930
Saskatchewan 1611 2 0.12 24 0 0.00 1.49 1363.33 20.31 1 in 733
Manitoba 1096 32 3.01 14 0 0.00 1.28 795.63 10.16 1 in 1257
Nova Scotia 1083 2 0.19 65 0 0.00 6.00 1107.98 66.50 1 in 903
Newfoundland and Labrador 269 1 0.37 3 0 0.00 1.12 515.95 5.75 1 in 1938
New Brunswick 191 1 0.53 2 0 0.00 1.05 244.87 2.56 1 in 4084
Prince Edward Island 44 0 0.00 0 0 NaN 0.00 278.20 0.00 1 in 3594
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4768 84 1.76
Guangdong 1737 8 0.46
Zhejiang 1277 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shanghai 894 7 0.78
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 650 3 0.46
Chongqing 583 6 1.03
Fujian 378 1 0.26
Shaanxi 364 3 0.82
Hebei 362 6 1.66
Liaoning 262 2 0.76
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 220 3 1.36
Shanxi 202 0 0.00
Yunnan 199 2 1.01
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 18074.39 555.62 1 in 55
Brazil 18178.71 570.97 1 in 55
India 2586.98 46.71 1 in 387
Russia 6766.30 116.72 1 in 148
Peru 19334.69 878.99 1 in 52
South Africa 10933.22 242.30 1 in 91
Colombia 12033.67 382.43 1 in 83
Mexico 4533.58 488.75 1 in 221
Spain 9414.62 621.75 1 in 106
Chile 22491.52 616.73 1 in 44
Argentina 8854.96 186.83 1 in 113
Iran 4557.80 261.82 1 in 219
United Kingdom 5024.17 625.72 1 in 199
Saudi Arabia 9499.82 115.76 1 in 105
Bangladesh NA NA 1 in NA
France 4552.13 456.80 1 in 220
Pakistan 1497.73 31.89 1 in 668
Turkey 3285.67 77.28 1 in 304
Italy 4388.38 586.51 1 in 228
Germany 2924.58 112.21 1 in 342

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 238458 5732 2.40
New York New York 233410 23680 10.15
Miami-Dade Florida 155418 2372 1.53
Maricopa Arizona 132986 2924 2.20
Cook Illinois 124573 5045 4.05
Harris Texas 103088 2153 2.09
Broward Florida 70513 1175 1.67
Dallas Texas 70100 938 1.34
Clark Nevada 58292 1111 1.91
Riverside California 51860 1007 1.94
Orange California 47782 956 2.00
San Bernardino California 46892 716 1.53
Bexar Texas 46083 1062 2.30
Suffolk New York 44678 2001 4.48
Nassau New York 44503 2197 4.94
Palm Beach Florida 41558 1099 2.64
Tarrant Texas 38644 599 1.55
San Diego California 37784 676 1.79
Westchester New York 36863 1450 3.93
Hillsborough Florida 36574 541 1.48
Orange Florida 35449 370 1.04
Philadelphia Pennsylvania 33495 1749 5.22
Wayne Michigan 30955 2874 9.28
Kern California 28854 256 0.89
Hidalgo Texas 27252 1156 4.24
Shelby Tennessee 26649 378 1.42
Travis Texas 26307 377 1.43
Duval Florida 26169 251 0.96
Prince George’s Maryland 25963 785 3.02
Middlesex Massachusetts 25105 2062 8.21
Mecklenburg North Carolina 24847 284 1.14
Fulton Georgia 24586 503 2.05
Fresno California 24367 263 1.08
Gwinnett Georgia 23972 324 1.35
Milwaukee Wisconsin 23841 485 2.03
Salt Lake Utah 23531 230 0.98
Davidson Tennessee 23321 254 1.09
Hennepin Minnesota 22520 878 3.90
Suffolk Massachusetts 22143 1106 4.99
Bergen New Jersey 21474 2032 9.46
Franklin Ohio 21320 559 2.62
Pima Arizona 21072 574 2.72
Cameron Texas 20739 731 3.52
Essex New Jersey 20260 2111 10.42
Hudson New Jersey 20100 1506 7.49
El Paso Texas 20072 423 2.11
Montgomery Maryland 19806 818 4.13
Pinellas Florida 19740 645 3.27
King Washington 19322 723 3.74
Fairfield Connecticut 18774 1413 7.53
St. Louis Missouri 18774 727 3.87
Nueces Texas 18664 348 1.86
Lee Florida 18461 417 2.26
Middlesex New Jersey 18377 1417 7.71
Passaic New Jersey 18275 1245 6.81
Marion Indiana 18087 746 4.12
Fairfax Virginia 18084 550 3.04
Essex Massachusetts 17900 1231 6.88
Alameda California 17847 247 1.38
Oakland Michigan 17794 1157 6.50
Sacramento California 17150 274 1.60
Union New Jersey 17052 1350 7.92
San Joaquin California 16989 307 1.81
Polk Florida 16692 429 2.57
Providence Rhode Island 16668 0 0.00
Cobb Georgia 16630 387 2.33
Santa Clara California 16607 245 1.48
DeKalb Georgia 16368 296 1.81
Jefferson Louisiana 16315 543 3.33
Out of GA Georgia 16055 119 0.74
Cuyahoga Ohio 15452 571 3.70
Jefferson Alabama 15325 286 1.87
Baltimore Maryland 15149 598 3.95
Fort Bend Texas 14845 231 1.56
Wake North Carolina 14536 198 1.36
Lake Illinois 14379 463 3.22
Baltimore City Maryland 14312 458 3.20
DuPage Illinois 14299 533 3.73
Stanislaus California 14257 253 1.77
Rockland New York 14197 674 4.75
District of Columbia District of Columbia 13851 605 4.37
Tulare California 13775 229 1.66
Charleston South Carolina 13679 232 1.70
New Haven Connecticut 13622 1109 8.14
East Baton Rouge Louisiana 13573 407 3.00
Contra Costa California 13398 173 1.29
Hartford Connecticut 13392 1426 10.65
Worcester Massachusetts 13348 1050 7.87
Douglas Nebraska 13207 155 1.17
Oklahoma Oklahoma 13144 153 1.16
Polk Iowa 13039 226 1.73
Tulsa Oklahoma 12941 129 1.00
Macomb Michigan 12562 965 7.68
Yuma Arizona 12165 319 2.62
Greenville South Carolina 11962 255 2.13
Mobile Alabama 11830 250 2.11
Collier Florida 11517 174 1.51
Orange New York 11399 494 4.33
Jefferson Kentucky 11353 264 2.33
Orleans Louisiana 11326 576 5.09

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc